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04/17/2023
RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding
Human drivers naturally reason about interactions between road users to ...
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01/06/2023
CFG2VEC: Hierarchical Graph Neural Network for Cross-Architectural Software Reverse Engineering
Mission-critical embedded software is critical to our society's infrastr...
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04/25/2022
Hardware Trojan Detection using Graph Neural Networks
The globalization of the Integrated Circuit (IC) supply chain has moved ...
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11/11/2021
Spatio-Temporal Scene-Graph Embedding for Autonomous Vehicle Collision Prediction
In autonomous vehicles (AVs), early warning systems rely on collision pr...
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10/05/2021
Multi-Modal Attack Detection for Cyber-Physical Additive Manufacturing
Cyber-Physical Additive Manufacturing (AM) constructs a physical 3D obje...
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09/17/2021
Graph Learning for Cognitive Digital Twins in Manufacturing Systems
Future manufacturing requires complex systems that connect simulation pl...
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09/02/2021
roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs
Recently, road scene-graph representations used in conjunction with grap...
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07/27/2021
Technical Report for HW2VEC – A Graph Learning Tool for Automating Hardware Security
In this technical report, we present HW2VEC [11], an open-source graph l...
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07/26/2021
HW2VEC: A Graph Learning Tool for Automating Hardware Security
The time-to-market pressure and continuous growing complexity of hardwar...
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07/22/2021
Establishing Digital Recognition and Identification of Microscopic Objects for Implementation of Artificial Intelligence (AI) Guided Microassembly
s miniaturization of electrical and mechanical components used in modern...
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07/19/2021
GNN4IP: Graph Neural Network for Hardware Intellectual Property Piracy Detection
Aggressive time-to-market constraints and enormous hardware design and f...
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06/04/2019
